NLP Tasks with Bert Model sentiment extraction text summarisation topic classification Python3

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$84.97
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inspectedProduto inspecionado pela PieceX

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yassine 846347
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Aug 9, 2020

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Flask APP for NLP Tasks (sentiment extraction , text summarisation , topic classification)

Natural language processing (NLP) is a field of artificial intelligence in which computers analyze, understand, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic classification...
Our application have 3 services :
if you are lazy and cannot read a long English text! we have the solution of a single click you will be able to summarize your text in a few seconds.

if you used a scrapper as a spider in social media and you want to limit the topics of scrapped posts !
we have also the solution we can connect our model to your scrapper and then choose what are the topics of posts you want to scrapp ! this is amazing

if you have a lot of comments or feedback on your website or on your facebook page ...
you can use our simple application to make a simple analyse about positive and negative comments

NLP Tasks with Bert Model sentiment extraction text summarisation topic classification Python3 Flask APP for NLP Tasks (sentiment extraction , text summarisation , topic classification)Natural language processing (NLP) is a field of artificial intelligence in which computers analyze, understand, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic classification...
Our application have 3 services :
if you are lazy and cannot read a long English text

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